EvoKNOW
Knowledge Incorporation in Evolutionary Computation
Selected EvoApplications papers will be invited to submit to a special issue of the Genetic Programming and Evolvable Machines (2016 Impact Factor: 1.514)
This track, organized under the aegis of the H2020 FET-OPEN project
"PHOENIX: Exploring the Unknown through Reincarnation and Co-
evolution", aims at bringing together researchers and practitioners from
all application domains dealing with the incorporation of knowledge into
evolutionary techniques. We seek high-quality contributions focused on
multi-disciplinary approaches combining Evolutionary Computation,
knowledge representation, knowledge transfer, case-based reasoning,
and real-world applications thereof. Topics of interest include but are not
limited to:
- Incorporation of domain knowledge into evolutionary algorithms
- Novel techniques to identify and elicit explicit and/or implicit expert knowledge relevant to evolutionary algorithms
- Innovative knowledge representation strategies for Evolutionary Computation
- Case-based reasoning applied to evolutionary algorithms
- Knowledge transfer across applications and domains
- Methods to account for uncertainties and contradictions in knowledge
- Knowledge-informed surrogate-assisted evolutionary algorithms
- Lifetime learning and Interactive Evolutionary Computation
- Memetic computing and domain-specific evolutionary techniques
- Real-world applications of knowledge-based Evolutionary Computation
PUBLICATION DETAILS
Accepted papers will appear in the proceedings of EvoApplications,
published in a volume of the Springer Lecture Notes in Computer Science,
which will be available at the Conference. Submissions must be original and
not published elsewhere. The submissions will be peer reviewed by at least
three members of the program committee. The authors of accepted papers will
have to improve their paper on the basis of the reviewers comments and will
be asked to send a camera ready version of their manuscripts. At least one
author of each accepted work has to register for the conference and attend
the conference and present the work.
This year EvoApplications is accepting two kinds of submission: full papers and short papers. Full papers require novel and complete research work and have a limit of 16 pages. Short papers should present complete research or interesting preliminary results and have a limit of 8 pages. Both types of submission will undergo the same double blind review process and all accepted papers will be included in the LNCS proceedings. All authors of accepted papers will be given the opportunity to further disseminate their work in poster sessions.
SUBMISSION DETAILS
- Submissions must be original and not published elsewhere. They will be
peer reviewed by members of the program committee. The reviewing process
will be double-blind, so please omit information about the authors in the
submitted paper.
- Submit your manuscript in Springer
LNCS format.
- Please provide up to five keywords in your Abstract
- Page limit: 8 pages (short papers) or 16 pages (full papers).
Submission link: https://myreview.saclay.inria.fr/evoapps18/
Presentation details
There are two types of presentation:
- Long talk (20 minutes + 5 min questions). Authors can optionally bring a poster to present at the poster session.
- Short talk (10 minutes, no questions). Authors MUST also bring a poster to present at the poster session.
Short papers are only eligible for short talks. Authors of long papers will be notified in advance of the type of presentation (short/long).
Programme Committee
- Jarosław Arabas (Warsaw University of Technology, Poland)
- János Botzheim (Tokyo Metropolitan University, Japan)
- Doina Bucur (University of Twente, The Netherlands)
- Fabio Caraffini (De Montfort University, UK)
- Ahmed Hallawa (RWTH Aachen University, Germany)
- Ferrante Neri (De Montfort University, UK)
- Vinícius Veloso de Melo (UNIFESP-SJC, Brazil)
- Anil Yaman (Technical University of Eindhoven, The Netherlands)
- Aleš Zamuda (University of Maribor, Slovenia)
- Fergal Lane (University of Limerick, Ireland)
EvoKNOW Track Chairs
- Giovanni Iacca
RWTH Aachen University, Germany
giovanni.iacca(At)gmail.com
- Gerd Ascheid
RWTH Aachen University, Germany
gerd.ascheid(At)ice.rwth-aachen.de